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A fast hybrid reinforcement learning framework with human corrective feedback
(Springer, 2019)
Reinforcement Learning agents can be supported by feedback from human teachers in the learning loop that guides the learning process. In this work we propose two hybrid strategies of Policy Search Reinforcement Learning ...
Learning over the Attentional Space with Mobile Robots
(2020-10-26)
The advancement of technology has brought many benets to robotics. Today, it is possible to have robots equipped with many sensors that collect different kinds of information on the environment all time. However, this ...
Learning over the Attentional Space with Mobile Robots
(Ieee, 2020-01-01)
The advancement of technology has brought many benefits to robotics. Today, it is possible to have robots equipped with many sensors that collect different kinds of information on the environment all time. However, this ...
Inglês e TIC: uma proposta de parâmetros para os materiais educacionais digitais voltados para a aprendizagem da língua inglesa
(Universidade Federal de Santa MariaBrasilUFSMCentro de Artes e Letras, 2018-12-01)
The increasing use of information and communication technologies in learning contexts opens several possibilities
to exploration and innovation, and it is not different with English as a Second Language learning. It is ...
Rage against the machine learning: a critical approach to the algorithmic mediation of information
(Faculdade de Filosofia e Ciências, 2020)
M-learning (mobile learning) in practice: a training experience with it professionals
(TECSI Laboratório de Tecnologia e Sistemas de Informação - FEA/USP, 2010)
This paper presents the results of a study that addresses the following question: what are the real possibilities of m-learning (mobile learning) for the development of individual competences and also for collaboration in ...
Using Meta-Learning to predict student performance in virtual learning environments
Educational Data Science has meant an important advancement in the understanding and improvemen of learning models in recent years. One of the most relevant research topics is student performance prediction through ...